slicing using Index and Mask arrays
I have just added a feature to scipy in CVS This feature lets a[a > 3] = 10 a[indexarray] = 3 and so forth to function. Currently a[maskarray] and a[indexarray] always return a 1-d array (multidimensional returns not yet supported) while a[maskarray] = obj and a[indexarray]= obj will keep the shape of a To enable the new feature you must type (we will do this by default on scipy import at some point) scipy.alter_numeric() You can get back old numeric behavior using scipy.restore_numeric() Please report any bugs you find... -Travis O.
Travis Oliphant wrote:
I have just added a feature to scipy in CVS
This feature lets
a[a > 3] = 10 a[indexarray] = 3
and so forth to function.
So far so good! This is a great addition, this message is just to report that it works here with current CVS, Numeric 23.1 built with dotblas on, and a binary ATLAS as supplied by scipy.org: planck[~]> scipy IPython profile: scipy Welcome to the SciPy Scientific Computing Environment. In [1]: a=arange(10) In [2]: a[a>3]=9 --------------------------------------------------------------------------- IndexError Traceback (most recent call last) /home/fperez/<console> IndexError: invalid index In [3]: scipy.alter_numeric() In [4]: a[a>3]=9 In [5]: a Out[5]: NumPy array, format: long [0 1 2 3 9 9 9 9 9 9] In [6]: scipy.restore_numeric() In [7]: a[a>3]=9 --------------------------------------------------------------------------- IndexError Traceback (most recent call last) /home/fperez/<console> IndexError: invalid index I'll enable the alter_numeric() from now on permanently for me. Many thanks! f.
participants (2)
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Fernando Perez -
Travis Oliphant